Lower Mekong Basin (LMB) experiences a recurrent drought phenomenon. However, few studies have focused on monitoring in this region due to lack of ground observations. The newly released Climate Hazards Group Infrared Precipitation with Station data (CHIRPS) long-term record and high resolution has great potential for monitoring. Based the assessment CHIRPS capturing precipitation drought, study aims evaluate condition LMB by using satellite-based from January 1981 July 2016. Standardized...

Land conversion to cropland is one of the major causes severe soil erosion in Africa. This study assesses current extent and related risk Rwanda, a country that experienced most rapid population growth expansion Africa over last decade. The land cover use (LCLU) map Rwanda 2015 was developed using Landsat-8 imagery. Based on obtained LCLU spatial datasets precipitation, properties elevation, rate assessed at 30-m resolution, Revised Universal Soil Loss Equation (RUSLE) model. According...

In this paper, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) is analyzed for the assessment of meteorological drought. The evaluation conducted over China at 0.5° spatial resolution against a ground-based gridded monthly Analysis Product (CPAP) 1983 to 2014 (32 years). Standardized Index (SPI) various time scales (1 month 12 months) calculated detecting drought events. results show that PERSIANN-CDR depicts...

Deforestation and natural grassland conversion to agricultural land use constitute a major threat soil water conservation. This study aimed at assessing the status of cover (LCLU) in Lake Kivu basin, its related impacts terms erosion by using Universal Soil Erosion Equation (USLE) model. The results indicated that basin is exposed risk with mean annual rate 30 t·ha−1, only 33% total non-water area associated tolerable loss (≤10 t·ha−1·year−1). Due both factors (abundant tropical...

Knowledge of current vegetation dynamics and an ability to make accurate predictions ecological changes are essential for minimizing food scarcity in developing countries. Vegetation trends also closely related sustainability issues, such as management conservation areas wildlife habitats. In this study, AVHRR MODIS NDVI datasets have been used assess the spatial temporal greenness Rwanda under contrasting precipitation, period starting from 1990 2014, first growing season (season A). Based...

Stormwater runoff poses serious environmental problems and public health issues in Rwanda, a tropical country that is increasingly suffering from severe floods, landslides, soil erosion water pollution. Using the WetSpa Extension model, this study assessed changes rainfall depth Rwanda 1990 to 2016 response precipitation land use changes. Our results show has experienced significant conversion of natural forest grassland cropland built-up areas. During period 1990–2016, 7090.02 km2 (64.5%)...

Soil erosion has become a serious problem in recent decades due to unhalted trends of unsustainable land use practices. Assessment soil is prominent tool planning and conservation water resource ecosystems. The Universal Loss Equation (USLE) was applied Nyabarongo River Catchment that drains about 8413.75 km² (33%) the total Rwanda coverage small part Southern Uganda (about 64.50 km²) using Geographic Information Systems (GIS) Remote Sensing technologies. estimated annual actual loss...

Abstract Satellite precipitation estimates (SPEs) provide important alternative sources for various applications especially regions where in situ observations are limited or unavailable, like central Asia. In this study, eight SPEs based on four different algorithms, namely, the Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis 3B42, Climate Prediction Center morphing technique (CMORPH), Global Mapping of (GSMaP), and Estimation from Remotely Sensed Imagery Using...

The objective of this study was to evaluate forest cover change and degradation in Nyungwe-Kibira Park, a natural reserve straddling Rwanda Burundi from 1986 2015. Landsat TM, ETM+ 8OLI images 30 m spatial resolution were used as primary datasets. Geographic Information System (GIS) techniques for mapping landscape metrics calculated by using FRAGSTATS software. Classification analysis type patterns carried out. In addition, analyze the correlated external disturbances, buffer zone 5 Km...

Rapid intensive agriculture often generates serious environmental concerns including soil erosion, water pollution and greenhouses gases. This paper assesses the impact of its practices on environment in Rwanda from 1990 to 2012. Data provided by World Bank were analyzed with Origin Pro 9 for statistical analysis. Also, a review physical-chemical parameters heavy metals resources home or surrounded cultivated mountains was adopted this study. The results showed that agricultural records...

Landslides are among hazards that undermine the social, economic, and environmental well-being of vulnerable community. Assessment landslides vulnerability reveals damages could be recorded, estimates severity impact, increases preparedness, response, recovery, mitigation as well. This study aims to estimate for western province Rwanda. Field survey secondary data sources identified 96 used prepare a inventory map. Ten factors-altitude, slope angles, normalized difference vegetation index...

Land surface temperature (LST) is an important indicator for assessing the urban heat island (SUHI) effect. This paper presents a novel approach to derive LST estimates by integrating machine learning algorithm and spatiotemporal fusion model at high spatial temporal resolution. The resolutions of Landsat TM 8 data were first downscaled using random forest (RF) from 120 m 100 m, respectively, 30 m. resultant fused with MODerate-resolution Imaging Spectroradiometer (MODIS) data, means...

This paper aimed to investigate the influence of climatic and topographic factors on distribution vegetation in Virunga Volcanoes Massif using GIS remote sensing techniques. The variables considered were precipitation, Land Surface Temperature (LST), evapotranspiration (ET), whereas elevation aspect. dataset consisted MODIS NDVI data, satellite-delivered ET, LST. A 2014 Landsat 8 OLI image was used produce a map study area, while DEM derive attributes calculate aspect angles. Moran’s I...

Drinking water loss or Non-Revenue Water (NRW) threatens the financial viability of utilities and sustainable natural resource management. However, little attention has been paid to quantitative assessment spatial distribution losses in Rwanda. Therefore, this study focused on magnitude losses, associated environmental socio-economic consequences, as well potential benefits from reduction Based usage records Sanitation Corporation (WASAC) Rwanda, NRW was calculated for 15 WASAC branches...

Wetland maps are a prerequisite for wetland development planning, protection, and restoration. The present study aimed at mapping monitoring Rwanda’s Akagera Complex by means of remote sensing geographic information systems (GIS). Landsat data, spanning from 1987 to 2015, were acquired different sensor instruments, considering 5-year interval during the dry season shuttle radar topographic mission (SRTM) digital elevation model (30-m resolution) was used delineate wetland. delineation...

Comprehensive studies on how vegetative ecosystems respond to fluctuations in precipitation and temperature patterns are of great necessity for environmental risk assessment land-use evaluations. The present study examined the annual trends vegetation greenness Rwanda from 2000-2015 assessed relationship between these dynamics climate factors by means MODIS NDVI, air temperature, SOI datasets. Mann Kendal trend test has been utilized determine direction rates changes, while Spearman’s rank...

Shenzhen city was selected to analyze the Surface Urban Heat Island (SUHI) variations based on land surface temperature (LST) in four different seasons of 2015. UHI intensity (UHII) as an indicator SUHI established and method density segmentation utilized classify after LSTs were normalized. The gravity center model UHII Moran’s <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>I</mml:mi></mml:mrow></mml:math> (a spatial autocorrelation index) used...

Abstract The spatial‐temporal representation is a crucial key for understanding at what extent terrestrial ecosystems can maintain their structure and functions recover from various ecosystem shifts (drought/wet). Hence, it vital sustainable management, adaptation, mitigation practices. This study assessed ecohydrological resilience to contrast water‐limited well‐watered regions multiple scales (i.e., country scale, basin climate type land cover scale) over Africa during the period...